KR102074419B1 - Intelligent product information collection server and product information collect method using the same - Google Patents

Abstract

An intelligent product information update server according to an aspect of the present invention includes an event processing unit for collecting a user event generated in a first sales server and a web posted by at least one second sales server according to a request of the event processing unit. And a crawler unit for crawling a page to update product information on a product associated with the user event.

Description

INTELLIGENT PRODUCT INFORMATION COLLECTION SERVER AND PRODUCT INFORMATION COLLECT METHOD USING THE SAME}

The present invention relates to an intelligent product information update server and an intelligent product information update method using the same.

As networks and computing devices evolve, various technologies related to online shopping are being developed.

Such online shopping can provide various shopping conveniences to consumers by removing local restrictions that were recognized as limitations in the existing offline shopping.

On the other hand, in the conventional online shopping, since a separate database is constructed for each sales server, there is a limitation in that it is difficult to link information of various vendors together.

In particular, in the case of the conventional online shopping dealing with overseas luxury goods, there was a problem that it is difficult to link each vendor and inventory information, etc., there is a limit that a large cost investment must be preceded in such linkage.

Patent Application Publication No. 10-1509393

The present invention is to solve the above problems of the prior art, an embodiment of the present invention, an intelligent product information update technology that can easily update the product information, even in different sales server environment using data crawling to provide.

In addition, an embodiment of the present invention provides an intelligent product information update technology that can provide faster and more efficient product information update by analyzing the user's click stream and predicting the user's navigation tendency to collect product information. .

In addition, an embodiment of the present invention, by providing an automatic categorizing function for the product information based on the learning, provides an intelligent product information update technology that can provide automated processing for the collected product information.

The above objects and various advantages of the present invention will become more apparent from the preferred embodiments of the present invention by those skilled in the art.

One technical aspect of the present invention provides an intelligent product information update server. The intelligent product information updating server crawls a web page posted by at least one second selling server according to an event processing unit for collecting a user event generated at a first selling server and a request of the event processing unit, and the user event. It includes a crawler unit for updating the product information for the product associated with.

In one embodiment, the event processing unit collects the product identification information for the product selected by the user in the user event and provide to the crawler unit, the crawler unit collects data associated with the product identification information in the web page To update the product information.

In one embodiment, the user event is a click stream event generated by a user, and the event processing unit may determine the product identification information by analyzing the user's continuous navigation information using the click stream event.

In an embodiment, the event processing unit may use the click stream event to provide first product identification information for the first product selected by the user and second product identification information for the second product expected to be selected by the user. You can decide.

In one embodiment, the crawler unit includes a first crawler object and a second crawler object, the first crawler object collects data associated with the first product identification information, and the second crawler object is the second crawler object. Data associated with the product identification information can be collected.

In one embodiment, the crawler unit may provide the updated merchandise information to the first sales server.

In an embodiment, the intelligent product information updating server further includes a learning unit learning category information on the product in the first sales server, wherein the learning unit is updated by the crawler unit to update the product information. If so, the updated product information may be reconstructed according to the learned category information.

Another technical aspect of the present invention provides an intelligent product information updating method. The intelligent product information update method is performed in an intelligent product information update server that updates product information in association with a first sales server and a second sales server. The intelligent product information updating method may include collecting user events occurring at a first sales server and crawling a web page posted by at least one second sales server to update product information on a product associated with the user event. It may include a step.

In one embodiment, the user event is a click stream event generated by a user, and the collecting of the user event comprises analyzing continuous navigation information of the user using the click stream event, from the navigation information. The method may include determining first product identification information for the first product selected by the user and determining second product identification information for the second product expected to be selected by the user from the navigation information. .

In an embodiment, the updating of the product information may include collecting data associated with the first product identification information using a first crawler object and associated with the second product identification information using a second crawler object. Collecting data. Here, collecting data associated with the first product identification information and collecting data associated with the second product identification information may be performed at the same time.

Means for solving the above problems do not enumerate all the features of the present invention. Various means for solving the problems of the present invention will be understood in more detail with reference to specific embodiments of the following detailed description.

According to one embodiment of the present invention, there is an effect that it is possible to easily update product information and the like even in different sales server environments using data crawling.

In addition, according to one embodiment of the present invention, by analyzing the user's click stream, by predicting the user's navigation tendency to collect product information, there is an effect that can provide a faster and more efficient product information update.

In addition, according to an embodiment of the present invention, by providing an automatic categorizing function for the product information based on the learning, there is an effect that can provide an automated process for the collected product information.

In addition, these effects and various advantages of the present invention can be easily understood from the preferred embodiments of the present invention described below.

1 is a schematic diagram of a system to which an intelligent product information update server according to an embodiment of the present invention is applied.
2 is a schematic diagram illustrating an intelligent product information update server according to an embodiment of the present invention.
3 is a block diagram of an intelligent product information update server according to an embodiment of the present invention.
FIG. 4 is a block diagram illustrating an embodiment of the event processing unit shown in FIG. 3.
FIG. 5 is a block diagram illustrating an embodiment of a crawling unit illustrated in FIG. 3.
6 is a block diagram of an intelligent product information update server according to another embodiment of the present invention.
FIG. 7 is a block diagram illustrating an embodiment of a learning unit illustrated in FIG. 6.
8 is a flowchart illustrating a method of updating intelligent product information according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings.

However, embodiments of the present invention may be modified in various other forms, and the scope of the present invention is not limited to the embodiments described below. In addition, embodiments of the present invention are provided to more completely explain the present invention to those skilled in the art.

The meaning of the terms described in the present invention will be understood as follows.

Singular expressions should be understood to include plural expressions unless the context clearly indicates otherwise, and terms such as "include" or "have" refer to features, numbers, steps, actions, components, parts, or parts thereof described. It is to be understood that the combination is intended to be present and does not exclude in advance the possibility of the presence or addition of one or more other features or numbers, steps, actions, components, parts or combinations thereof.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. Generally, the terms defined in the dictionary used are to be interpreted to coincide with the meanings in the context of the related art, and should not be interpreted as having ideal or excessively formal meanings unless clearly defined in the present invention.

1 is a schematic diagram of a system to which an intelligent product information update server according to an embodiment of the present invention is applied.

Referring to FIG. 1, the product information update server 100 may be connected to the first sales server 210 and the second sales server 220 through a network.

First, in this specification, a sales server includes a variety of servers provided with predetermined data and used for sales utilization. Therefore, it covers various kinds of servers such as web server and database server.

The first sales server 210 and the second sales server 220 may be operated by different operating entities and operate independently of each other. For example, the first sales server 210 and the second sales server 220 may be servers that maintain separate databases or manage different web pages.

The second sales server 220 collectively refers to a sales server that is independent of the first sales server 210, and thus may include a plurality of different sales servers.

The product information update server 100 may detect a user event generated in the first sales server 210, and may secure information disclosed in the second sales server 220 with respect to a product related to the user event. Through this, the product information update server 100 may update the product information for the product. The product information update server 100 may provide the updated product information to the first sales server 210.

In this way, in response to the event of the first sales server 210, by obtaining the information of the second sales server 220 operating independently of the first sales server 210 to update the product information, product information update server 100 may update the adaptive product information in real time.

Meanwhile, the product information update server 100 may be operated by the same operating entity as the first sales server 210. Depending on the implementation environment, it may be implemented as one physical server. However, hereinafter, the product information update server 100 and the first sales server 210 are functionally divided and described as different entities.

2 is a schematic diagram illustrating an intelligent product information update server according to an embodiment of the present invention.

With reference to FIG. 2, the operation | movement of the product information update server 100 is demonstrated generally.

The user may generate a user event in the first sales server 210 through the user terminal 211. For example, a user event may be generated by searching for product information while browsing a web page provided by the first sales server 210.

The product information update server 100 may collect a user event occurring in the first sales server 210.

The product information update server 100 may identify a product associated with the user event, and obtain information related to the identified product from another sales server, that is, the second sales server 220, with respect to the identified product.

For example, the product information update server 100 crawls a web page provided by the second sales server 220 to collect related information, and extracts information related to the identified product from the collected information to obtain product information. Can be updated.

The product information update server 100 may provide the updated product information to the first sales server 210. The first sales server 210 may modify the content of the web page to reflect the updated product information, or provide the latest information to the user by reflecting the product information updated adaptively to the user's request.

Hereinafter, various embodiments of the product information update server 100 will be described with reference to FIGS. 3 to 7.

3 is a block diagram of an intelligent product information update server according to an embodiment of the present invention.

Referring to FIG. 3, the product information update server 100 may include an event processing unit 110 and a crawling unit 120.

The event processing unit 110 may collect a user event generated in the first sales server 210.

The crawling unit 120 may update the product information on the product associated with the user event by crawling a web page posted by the at least one second selling server 220 according to the request of the event processing unit 110. .

In one embodiment, the event processing unit 110 may collect product identification information for a product selected by the user in the user event and provide the same to the crawling unit 120. The crawling unit 120 may update the product information by collecting data associated with the product identification information in the web page.

In one embodiment, the user event may be a click stream event generated by a user. Click Stream refers to the flow of clicks, and users click to browse through the various web pages in the site. Click Stream stores information about web browsing through this series of clicks. The event processing unit 110 analyzes the user's clickstream data to analyze the navigation and propensity of the visitor within the site, which link elements are mainly used by the user within a web page, and the like. Can be.

That is, as an example, the event processing unit 110 may analyze the continuous navigation information of the user using the click stream event to determine the product identification information of the product for which the user has requested the information.

As another example, the event processing unit 110 may not only determine the product selected by the user using the click stream, but also determine the product expected to be selected by the user based on the analysis of the user's disposition. That is, the event processing unit 110 may determine the first product identification information for the first product selected by the user and the second product identification information for the second product expected to be selected by the user using the click stream event. .

The product identification information determined as described above is provided to the crawling unit 120, and the crawling unit 120 may crawl the corresponding product by using the product identification information.

In one embodiment, the crawling unit 120 may include a plurality of crawler objects 121. The plurality of crawler objects 121 may operate independently of each other. For example, the crawler unit may include a first crawler object and a second crawler object, the first crawler object collects data associated with the first product identification information, and the second crawler object identifies the second product. Collect data associated with the information.

As such, the crawling unit 120 may collect data associated with the product identification information and update the product information by using the collected data.

The crawling unit 120 may provide updated product information to the first selling server. According to an embodiment, the crawling unit 120 may provide updated product information to the second sales server.

FIG. 4 is a block diagram illustrating an embodiment of the event processing unit shown in FIG. 3.

Referring to FIG. 4, the event processing unit 110 may include an event processor 111 and an event storage 112.

The event storage 112 may check an event of a user and store information about the event. For example, if the user event is a click stream event, the event storage 112 may store information about the click stream event.

The event processor 111 may determine a product associated with the user's event based on the event stored in the event storage 112. The event processor 111 may generate product identification information regarding the determined product and provide the same to the crawling unit 120.

The event processor 111 may access the database 211 of the first sales server, obtain information such as product-specific purchase information, popular product information, and discount product information, and include at least some information in the product information.

In one embodiment, the event processor 111 may set a purchase index based on actual purchase for each product, or a popularity index according to a user's preference display (like, etc.).

FIG. 5 is a block diagram illustrating an embodiment of a crawling unit illustrated in FIG. 3.

Referring to FIG. 5, the crawling unit 120 may include a plurality of crawler objects 121 and a crawl scheduler 122.

The crawl scheduler 122 may control an operation of each of the plurality of crawler objects 121. For example, the crawl scheduler 122 may receive the product identification information from the event processor 111 and control the crawler by providing different product identification information to each crawler object.

In one embodiment, the crawl scheduler 122 may manage the plurality of crawler objects 121 in groups. For example, the crawl scheduler 122 may divide at least one crawler object into a first group and a plurality of crawler objects into a second group. The crawl scheduler 122 may control the crawler object belonging to the first group to perform crawling only for a product that actually triggers an event, for example, a product that actually executes a click event. In addition, the crawl scheduler 122 is expected to generate clicks on the crawler objects belonging to the second group, in consideration of the products for which the user is expected to generate an event, such as the user's browsing tendency and the current browsing situation. You can control crawling only for products that become eligible.

In addition, the crawl scheduler 122 may set a higher priority for crawling the first group. For example, it may be controlled to preferentially distribute computing resources to crawler objects belonging to the first group.

By controlling in this way, a large number of crawler objects can be efficiently operated even with limited resources.

The crawl scheduler 122 may perform a crawl on an automated schedule for a predetermined product. For example, the crawl scheduler 122 may perform crawling at shorter intervals for products having a high popularity index or a purchase index selected by the event processor 111.

In this way, product information can be efficiently updated even in a situation where a user event does not occur.

In the above, with reference to Figures 3 to 5, the intelligent product information update server according to an embodiment of the present invention has been described.

Hereinafter, an intelligent product information update server according to another embodiment of the present invention will be described with reference to FIGS. 6 to 7. The intelligent product information update server according to another embodiment to be described below relates to an embodiment further including a learning unit 130.

Accordingly, the description of the event processing unit 110 and the crawling unit 120 can be easily understood from the above description with reference to FIGS. 3 to 5.

Referring to FIG. 7, the product information update server 101 includes an event processing unit 110, a crawling unit 120, and a learning unit 130.

The learning unit 130 may assist in updating product information by performing learning on various data and reflecting the same.

For example, the learning unit 130 may learn category information about a product in the first sales server 210. When the product information is updated by the crawling unit 120, the learning unit 130 may reconstruct the updated product information according to the learned category information.

As another example, the learning unit 130 may learn a multilingual name for each product by comparing product identification information with a product name in the first sales server 210 or the second sales server 220. The learning unit 130 may update the product information by reflecting the multilingual name of the learned product.

FIG. 7 is a block diagram illustrating an embodiment of a learning unit illustrated in FIG. 6.

Referring to FIG. 7, the learning unit 130 may include a learning machine 131 and a learning information manager 132.

As described above, the learning machine 131 may perform mechanical learning on category information, multilingual names, and the like. For example, the learning machine 131 may perform learning in a Tensor-Flow method.

The learning information manager 132 may store information learned by the learning machine 131. The learning information management fee 132 may reflect stored learning information about data collected by the crawler unit, for example, updated product information.

In the above, various embodiments of the intelligent product information update server have been described with reference to FIGS. 1 to 7.

Hereinafter, an intelligent product information updating method according to an embodiment of the present invention will be described. However, since the intelligent product information updating method to be described below is performed based on the intelligent product information updating server described above with reference to FIGS. 1 to 7, the same or similar contents as described above with reference to FIGS. The description thereof is omitted, but it can be easily understood from the foregoing description.

8 is a flowchart illustrating a method of updating intelligent product information according to an embodiment of the present invention.

Referring to FIG. 8, the product information update server 100 may update product information in association with the first sales server 210 and the second sales server 220.

Specifically, when a user event occurs in the first sales server (S810), the product information update server 100 may collect such a user event (S820).

The product information update server 100 may crawl the web page posted by the at least one second sales server 220 based on the collected user event (S830) to update the product information on the product associated with the user event. It may be (S840).

The product information update server 100 may provide the updated product information to the first sales server 210.

In one embodiment, the user event is a click stream event generated by the user, and collecting the user event (S820), analyzing the continuous navigation information of the user using the click stream event, the Determining first product identification information for the first product selected by the user from the navigation information and determining second product identification information for the second product expected to be selected by the user from the navigation information. can do.

In an embodiment, the updating of the product information (S840) may include collecting data associated with the first product identification information using a first crawler object and identifying the second product using a second crawler object. Collecting data associated with the information. Here, collecting data associated with the first product identification information and collecting data associated with the second product identification information may be performed at the same time.

Description of the present invention described above is only an embodiment for structural or functional description, the scope of the present invention should not be construed as limited by the embodiments described in the text.

That is, the present invention is not limited by the above-described embodiment and the accompanying drawings, but is defined by the claims below, and the configuration of the present invention may be modified in various ways without departing from the spirit of the present invention. As the embodiments of the present invention can be changed and modified, various modifications are possible and may have various forms.

Accordingly, the scope of the present invention should be understood to include equivalents capable of realizing the technical idea.

100: product information update server
110: event processing unit
111: event handler 112: event storage
120: crawl unit
121: crawler object 122: crawl scheduler
130: learning unit
131: learning machine 132: learning information manager
210: first sales server
211: first DB
220: second sales server

Claims (10)

An event processing unit for collecting a user event occurring at the first sales server; And
At the request of the event processing unit, the web page posted by at least one second sales server that is different from the first sales server is crawled to update the product information on the product associated with the user event, and then update. And a crawler unit for providing the product information to the first sales server.
The first sales server and the second sales server are servers each having a different database and managing different web pages,
The event processing unit,
Collecting the product identification information for the product selected by the user in the user event and provide to the crawler unit,
The crawler unit,
Collecting data associated with the product identification information from the web page to update the product information,
The user event,
Click stream events generated by the user,
The event processing unit
An event storage for storing the click stream event; And
An event processor for analyzing the continuous navigation information of the user using the click stream event and determining the product identification information to provide to the crawler unit,
The event handler,
Determine first product identification information for the first product selected by the user and second product identification information for the second product expected to be selected by the user using the click stream event,
The crawler unit includes a first crawler object, a second crawler object, and a crawl scheduler.
The crawl scheduler controls to perform a crawl by providing different product identification information to the first crawler object and the second crawler object,
The first crawler object collects data associated with the first product identification information,
And the second crawler object collects data associated with the second product identification information.
delete delete delete delete delete According to claim 1, wherein the intelligent product information update server
A learning unit for learning category information on the product in the first sales server; More,
And the learning unit reconstructs the updated product information according to the learned category information when the product information is updated by the crawler unit.
An intelligent product information updating method performed by the intelligent product information updating server according to claim 1 or 7, which updates product information in association with a first selling server and a second selling server,
Collecting a user event occurring at the first sales server; And
Crawling a web page posted by at least one second selling server to update product information on a product associated with the user event;
Intelligent product information updating method comprising a.
The method of claim 8,
The user event is a click stream event generated by a user,
Collecting the user event is
Analyzing continuous navigation information of the user using the click stream event;
Determining first product identification information on the first product selected by the user from the navigation information; And
Determining, from the navigation information, second product identification information for a second product expected to be selected by the user;
Intelligent product information updating method comprising a.
The method of claim 9, wherein updating the product information is
Collecting data associated with the first product identification information by using a first crawler object; And
Collecting data associated with the second product identification information by using a second crawler object;
Including,
And collecting data associated with the first product identification information and collecting data associated with the second product identification information are performed simultaneously.

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